About Course
In this hands-on lab, you’ll learn about the Azure Databricks workspace, a central hub for managing Databricks clusters, data, and resources on Azure. You’ll explore Apache Spark clusters for parallel data processing across multiple nodes and use notebooks to combine notes with interactive code cells for data exploration. You’ll also delve into Delta Lake, an open-source relational storage for implementing a Data Lakehouse architecture in Azure Databricks. Additionally, you’ll work with SQL Warehouses, enabling data analysts to use familiar SQL queries. Notebooks in Azure Databricks will be used to perform data engineering tasks, such as processing data files and loading data into tables, and you’ll see how Azure Data Factory can orchestrate these tasks within a data engineering pipeline.